Meta-heuristic Mechanism Based on Whale Optimization Algorithm for Tasks Allocation in Edge Computing
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.23919/CISTI54924.2022.9820067 http://hdl.handle.net/11449/240535 |
Resumo: | The number of vehicles in the world is growing, at the same time, it is also increasing the technology used in vehicles. Such vehicles share a large amount of information using different technologies. To make data available closer to vehicles and thus streamline communication, edge services are becoming a support for intelligent transport systems. However, this service has limited computational resources. Thus, optimizing the use of these resources is a challenge. In this way, this work propose a metaheuristic mechanism based on the whale optimization algorithm to perform the decision-making process for resource allocation in an edge computing environment, named MARTIAL. Results show that our approach performed better when compared to other traditional algorithms. The mechanism proved to be efficient in maximizing the number of tasks served and minimizing blocks and denials. |
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Repositório Institucional da UNESP |
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Meta-heuristic Mechanism Based on Whale Optimization Algorithm for Tasks Allocation in Edge Computingedge computingIntelligent transportation systemsMeta-heuristicTasks allocationWhale optmization algorithmThe number of vehicles in the world is growing, at the same time, it is also increasing the technology used in vehicles. Such vehicles share a large amount of information using different technologies. To make data available closer to vehicles and thus streamline communication, edge services are becoming a support for intelligent transport systems. However, this service has limited computational resources. Thus, optimizing the use of these resources is a challenge. In this way, this work propose a metaheuristic mechanism based on the whale optimization algorithm to perform the decision-making process for resource allocation in an edge computing environment, named MARTIAL. Results show that our approach performed better when compared to other traditional algorithms. The mechanism proved to be efficient in maximizing the number of tasks served and minimizing blocks and denials.Universidade Estadual Paulista-UNESP IFSP Catanduva, São José do Rio Preto, SPUniversidade Estadual Paulista UNESP Brock University, São José do Rio Preto - SPUniversidade Federal de São Carlos - UFSCar, SPUniversidade of Brasília (UnB), DFUniversidade de São Paulo - USP, SPUniversidade Estadual Paulista-UNESP IFSP Catanduva, São José do Rio Preto, SPUniversidade Estadual Paulista UNESP Brock University, São José do Rio Preto - SPUniversidade Estadual Paulista (UNESP)Universidade Federal de São Carlos (UFSCar)Universidade of Brasília (UnB)Universidade de São Paulo (USP)Lieira, Douglas Dias [UNESP]Gottsfritz, Euclydes Nasorri [UNESP]Quessada, Matheus Sanches [UNESP]Cristiani, André LuisRocha Filho, Geraldo P.Meneguette, Rodolfo Ipolito2023-03-01T20:21:30Z2023-03-01T20:21:30Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.23919/CISTI54924.2022.9820067Iberian Conference on Information Systems and Technologies, CISTI, v. 2022-June.2166-07352166-0727http://hdl.handle.net/11449/24053510.23919/CISTI54924.2022.98200672-s2.0-85134823855Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIberian Conference on Information Systems and Technologies, CISTIinfo:eu-repo/semantics/openAccess2023-03-01T20:21:30Zoai:repositorio.unesp.br:11449/240535Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:20:58.254235Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Meta-heuristic Mechanism Based on Whale Optimization Algorithm for Tasks Allocation in Edge Computing |
title |
Meta-heuristic Mechanism Based on Whale Optimization Algorithm for Tasks Allocation in Edge Computing |
spellingShingle |
Meta-heuristic Mechanism Based on Whale Optimization Algorithm for Tasks Allocation in Edge Computing Lieira, Douglas Dias [UNESP] edge computing Intelligent transportation systems Meta-heuristic Tasks allocation Whale optmization algorithm |
title_short |
Meta-heuristic Mechanism Based on Whale Optimization Algorithm for Tasks Allocation in Edge Computing |
title_full |
Meta-heuristic Mechanism Based on Whale Optimization Algorithm for Tasks Allocation in Edge Computing |
title_fullStr |
Meta-heuristic Mechanism Based on Whale Optimization Algorithm for Tasks Allocation in Edge Computing |
title_full_unstemmed |
Meta-heuristic Mechanism Based on Whale Optimization Algorithm for Tasks Allocation in Edge Computing |
title_sort |
Meta-heuristic Mechanism Based on Whale Optimization Algorithm for Tasks Allocation in Edge Computing |
author |
Lieira, Douglas Dias [UNESP] |
author_facet |
Lieira, Douglas Dias [UNESP] Gottsfritz, Euclydes Nasorri [UNESP] Quessada, Matheus Sanches [UNESP] Cristiani, André Luis Rocha Filho, Geraldo P. Meneguette, Rodolfo Ipolito |
author_role |
author |
author2 |
Gottsfritz, Euclydes Nasorri [UNESP] Quessada, Matheus Sanches [UNESP] Cristiani, André Luis Rocha Filho, Geraldo P. Meneguette, Rodolfo Ipolito |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidade Federal de São Carlos (UFSCar) Universidade of Brasília (UnB) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Lieira, Douglas Dias [UNESP] Gottsfritz, Euclydes Nasorri [UNESP] Quessada, Matheus Sanches [UNESP] Cristiani, André Luis Rocha Filho, Geraldo P. Meneguette, Rodolfo Ipolito |
dc.subject.por.fl_str_mv |
edge computing Intelligent transportation systems Meta-heuristic Tasks allocation Whale optmization algorithm |
topic |
edge computing Intelligent transportation systems Meta-heuristic Tasks allocation Whale optmization algorithm |
description |
The number of vehicles in the world is growing, at the same time, it is also increasing the technology used in vehicles. Such vehicles share a large amount of information using different technologies. To make data available closer to vehicles and thus streamline communication, edge services are becoming a support for intelligent transport systems. However, this service has limited computational resources. Thus, optimizing the use of these resources is a challenge. In this way, this work propose a metaheuristic mechanism based on the whale optimization algorithm to perform the decision-making process for resource allocation in an edge computing environment, named MARTIAL. Results show that our approach performed better when compared to other traditional algorithms. The mechanism proved to be efficient in maximizing the number of tasks served and minimizing blocks and denials. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-03-01T20:21:30Z 2023-03-01T20:21:30Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.23919/CISTI54924.2022.9820067 Iberian Conference on Information Systems and Technologies, CISTI, v. 2022-June. 2166-0735 2166-0727 http://hdl.handle.net/11449/240535 10.23919/CISTI54924.2022.9820067 2-s2.0-85134823855 |
url |
http://dx.doi.org/10.23919/CISTI54924.2022.9820067 http://hdl.handle.net/11449/240535 |
identifier_str_mv |
Iberian Conference on Information Systems and Technologies, CISTI, v. 2022-June. 2166-0735 2166-0727 10.23919/CISTI54924.2022.9820067 2-s2.0-85134823855 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Iberian Conference on Information Systems and Technologies, CISTI |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129191237910528 |